Data Engineer

Company Description

Xref is a global, best in class, HR and recruitment technology company that empowers organisations with people-focused feedback to make great decisions. Recruit, retain and remember your people with Xref’s automated reference, pulse and exit surveys.

We are a global, ASX-listed company with users in 195 countries. When you work with Xref, you work with a vast array of clients of all sizes and industry backgrounds. Our users love and trust us - we have a 4.7 star rating out of 5 on Google, G2 and Capterra.

Xref's vision is to make it easier for the world to hire and track talent throughout their journey by changing the way organisations collect and action feedback from their people. We're growing rapidly with plenty of exciting new developments and opportunities in play!

Job Description

How will you contribute to the Xref team? 

This is a great opportunity for a budding data engineer to gain a strong foundation in a high performing company. You will work with leading technologies and be supported by a highly experienced team to deliver the information, analytics and capability needed for Xref to be a customer focused, data driven organisation.

You will design, build, run and support cloud-based data processing platforms, real time workload and streaming data flows in a large utility environment. 

Your key responsibilities will be:

• Software design 
• Software deployment on AWS 
• Data design 
• Develop, test, and maintain data/software applications to extract data from diverse and scattered sources, and transform and load it into several different storage systems. 
• Develop, test, and maintain software applications to connect and extract data from diverse external APIs 
• Create AI systems to process unstructured data to solve classification and dimensionality reduction problems. 
• Implement, manage, and upgrade data infrastructure and software applications for the numerous present and coming data workloads.
• Collecting requirements for the development of new data systems.
• Compose extensive documentation on software applications, data assets, data lineage, and data products. 
• Give support on data and data system matters as SME, sharing best practices on software design and data handling.

Qualifications

What do you need?

• You are already a software engineer looking to work in an agile team with cutting-edge technology and you have been a Python developer for a minimum of 3 years with a key interest in data Previous usage in SQL and AWS is essential
• Demonstrated experience of cloud storage systems (AWS), relational databases and distributed computation to create efficient, scalable data systems.
• Demonstrated experience of data integration from multiple heterogeneous sources (apis and data storages).
• Exposure across multiple languages (python essential)
• Awareness of machine learning techniques and supporting system designs.

It would be great if you possess the following, however not essential: Data Modeling, Data Warehousing, Data Streaming (Kafka, firehose, Visualisation Building (Tableau)), MongoDB, Elasticsearch, DynamoDB